Health Care Service Corporation (HCSC) is a member-owned health insurance company in the United States. HCSC was formerly known as Hospital Service Corporation and changed its name to Health Care Service Corporation in 1975. The company was founded in 1936 and is based in Chicago, Illinois with a network of offices in the United States. Health Care Service Corporation is the licensee of the Blue Cross and Blue Shield Association for five states. It concentrates its operations in Illinois, Montana, New Mexico, Oklahoma, and Texas.HCSC is the fifth-largest health insurer in the US overall and employs more than 23,000 people. As of 2019, it was noted to be the third-largest commercial health insurer in the United States It serves nearly 16 million members. HCSC offers group life, disability, and dental policies, as well as a range of other individual policies. The company also provides various care management and wellness resources..
Routing in software Defined Communication Networks (SDN) represents a pradigrg, shift from traditional, distributed routing to centralized, software-controlled approach. Instead of individual routers making independent decisions based on local information, an SDN controller maintains a global view of the network topology and manages traffic flows dynamically. The exiting deep reinforcement optimization algorithm to satisfy and evaluate the multiple fitness functions simultaneously, which leads to the inefficient communication and information transaction. To address the problem, JellyFish Search Optimization (JFO) with Arctic Puffin Optimization algorithm (APO) (JFO-APO) method is proposed. The JFO algorithm is used to exploitation process which is used to overcome the problem by analyzing the efficient evaluate using the multiple fitness function simultaneously. The APO is used for the exploitation process and also overcome the problem slow convergence which is overcome by the JFO and the threshold gate function as an improvisation and it is used to overcome the dynamic chattering problem. To evaluate the performance of the proposed JFO-APO algorithm from the different metrics such as throughput and end to end delay.
Unlabelled:Completion of the HEDIS (Healthcare Effectiveness Data and Information Set) Childhood Immunization Status Combination 10 (Combo 10) measure among US children aged 24-35 months declined from 53.7% in 2021 to 44.6% in 2023, with a statistically significant survey-weighted annual trend. An explainable machine learning approach identified influenza vaccination and rotavirus series completion as the strongest component-level drivers of Combo 10 completion, supporting targeted public health quality improvement.
Abstract: Discordance between cystatin C–based and creatinine-based estimated glomerular filtration rate (eGFR) is a recognized cardiovascular risk marker, but its magnitude and clinical significance in sickle cell disease (SCD) remain unknown. We conducted a cross-sectional study of 1099 Black adults (223 with SCD and 876 without SCD) to evaluate eGFR discordance, defined as the percentage difference between cystatin C and creatinine eGFR. Using propensity score overlap weighting to balance covariates, we assessed the association of SCD with continuous discordance and high-risk discordance (cystatin C eGFR ≥30% lower than creatinine eGFR). After overlap weighting, SCD was associated with a profoundly more negative eGFR discordance (adjusted median difference, −14.20%; 95% confidence interval [CI], −19.30 to −9.09) and increased odds of high-risk discordance (adjusted odds ratio [aOR], 1.88; 95% CI, 1.12-3.16) compared with controls. Within the SCD cohort, high-risk discordance was independently associated with prevalent heart failure (aOR, 4.65; 95% CI, 1.91-11.30) and pulmonary hypertension (aOR, 2.70; 95% CI, 1.19-6.17). In multivariable models, heart failure was the dominant independent correlate of more negative discordance, whereas higher hemoglobin was associated with less negative discordance, suggesting a hemolysis-driven mechanism. In trend analyses, eGFR discordance became progressively more negative with declining creatinine eGFR, then appeared to reverse at advanced renal impairment, a pattern absent in non-SCD controls. These findings show that eGFR discordance is disproportionately amplified in SCD and support the evaluation of eGFR discordance as a noninvasive biomarker of nonatherosclerotic cardiopulmonary risk in prospective SCD studies.
Modern face recognition biometric authentication uses deep learning to identify individuals by converting their unique facial features into mathematical representations. Integrating these systems with blockchain ensures that access logs remain permanent, tamper-proof, and accessible across decentralized networks. Biometric authentication using FaceNet and blockchain offers a secure way to manage access but faces critical privacy challenges today. Traditional systems store facial vectors on public ledgers, allowing hackers to reconstruct original faces using advanced artificial intelligence attacks. Privacy-Preserved Zero-Knowledge Proofs (ZKP)-FaceNet is proposed to eliminate these risks by ensuring that sensitive biological data is never exposed. This methodology utilizes ZKP to verify identity through cryptographic proofs instead storing raw mathematical facial features. The system generates a cryptographic proof from FaceNet embeddings, which the blockchain validates without ever seeing the actual face. Testing is conducted using the Labeled Faces in the Wild (LFW) dataset to ensure high accuracy while maintaining total user privacy. The proposed ZKP-FaceNet achieves an impressive 99.63% accuracy metric, matching the original FaceNet performance while providing better data security. This integration of FaceNet with ZKP layers ensures that the verification process remains both highly reliable and completely anonymous.
